AI and Machine Learning: Today’s Implementation Realities

AI and machine learning have returned to the spotlight. This time, they’ve caught the attention of the C-Suite and stakeholders as the leading value-drivers within data science.

With this level of visibility, today’s machine learning needs to do more than uncover interesting insights. Most organizations focus almost exclusively on algorithms, software, coding, and platforms. Although these tactics are important, they only make up one of three pillars required to run a productive AI operation.

Each day of this three-day workshop focuses on one of the pillars:

Preparing for AI and machine learning action and adoption

AI opportunity identification, project design, and preparation

The methods and mechanics of machine learning

Attend this workshop to learn how to apply a comprehensive implementation framework that not only ensures superior model performance, but prepares the operational environment for automated decision-making and the organizational team for adoption.